df1_hydra

Dataset statistics

Number of variables	13
Number of observations	3940
Missing cells	95
Missing cells (%)	0.2%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	400.3 KiB
Average record size in memory	104.0 B

Variable types

Text	10
Numeric	3

Alerts

`YouTube Trailer` has 47 (1.2%) missing values	Missing
`IMDB ID` has unique values	Unique
`Runtime` has 193 (4.9%) zeros	Zeros

Reproduction

Analysis started	2024-01-28 11:50:02.311242
Analysis finished	2024-01-28 11:50:05.432328
Duration	3.12 seconds
Software version	ydata-profiling vv4.6.4
Download configuration	config.json

Title
Text

Distinct	3927
Distinct (%)	99.7%
Missing	0
Missing (%)	0.0%
Memory size	30.9 KiB

Length

Max length	83
Median length	55
Mean length	15.477411
Min length	1

Characters and Unicode

Total characters	60981
Distinct characters	82
Distinct categories	8 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	3914 ?
Unique (%)	99.3%

Sample

1st row	Patton Oswalt: Annihilation
2nd row	New York Doll
3rd row	Mickey's Magical Christmas: Snowed in at the House of Mouse
4th row	Mickey's House of Villains
5th row	And Then I Go

Value	Count	Frequency (%)
the	1200	11.0%
of	365	3.3%
a	158	1.4%
in	110	1.0%
and	102	0.9%
2	81	0.7%
to	79	0.7%
	77	0.7%
man	65	0.6%
i	52	0.5%
Other values (4140)	8668	79.1%

Most occurring characters

Value	Count	Frequency (%)
	7017	11.5%
e	6212	10.2%
a	3783	6.2%
o	3650	6.0%
n	3418	5.6%
r	3248	5.3%
i	3209	5.3%
t	3013	4.9%
s	2342	3.8%
h	2312	3.8%
Other values (72)	22777	37.4%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	42960	70.4%
Uppercase Letter	9659	15.8%
Space Separator	7017	11.5%
Other Punctuation	840	1.4%
Decimal Number	429	0.7%
Dash Punctuation	73	0.1%
Math Symbol	2	< 0.1%
Currency Symbol	1	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	6212	14.5%
a	3783	8.8%
o	3650	8.5%
n	3418	8.0%
r	3248	7.6%
i	3209	7.5%
t	3013	7.0%
s	2342	5.5%
h	2312	5.4%
l	2081	4.8%
Other values (21)	9692	22.6%

Uppercase Letter

Value	Count	Frequency (%)
T	1332	13.8%
S	842	8.7%
M	662	6.9%
B	659	6.8%
A	543	5.6%
D	532	5.5%
C	527	5.5%
L	450	4.7%
W	425	4.4%
H	413	4.3%
Other values (16)	3274	33.9%

Other Punctuation

Value	Count	Frequency (%)
:	412	49.0%
'	158	18.8%
.	99	11.8%
&	60	7.1%
,	51	6.1%
!	34	4.0%
/	12	1.4%
?	11	1.3%
#	1	0.1%
*	1	0.1%

Decimal Number

Value	Count	Frequency (%)
2	129	30.1%
3	72	16.8%
1	66	15.4%
0	46	10.7%
4	27	6.3%
9	26	6.1%
5	20	4.7%
7	17	4.0%
8	13	3.0%
6	13	3.0%

Space Separator

Value	Count	Frequency (%)
	7017	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	73	100.0%

Math Symbol

Value	Count	Frequency (%)
+	2	100.0%

Currency Symbol

Value	Count	Frequency (%)
$	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	52619	86.3%
Common	8362	13.7%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	6212	11.8%
a	3783	7.2%
o	3650	6.9%
n	3418	6.5%
r	3248	6.2%
i	3209	6.1%
t	3013	5.7%
s	2342	4.5%
h	2312	4.4%
l	2081	4.0%
Other values (47)	19351	36.8%

Common

Value	Count	Frequency (%)
	7017	83.9%
:	412	4.9%
'	158	1.9%
2	129	1.5%
.	99	1.2%
-	73	0.9%
3	72	0.9%
1	66	0.8%
&	60	0.7%
,	51	0.6%
Other values (15)	225	2.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	60972	> 99.9%
None	9	< 0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	7017	11.5%
e	6212	10.2%
a	3783	6.2%
o	3650	6.0%
n	3418	5.6%
r	3248	5.3%
i	3209	5.3%
t	3013	4.9%
s	2342	3.8%
h	2312	3.8%
Other values (66)	22768	37.3%

None

Value	Count	Frequency (%)
é	4	44.4%
ä	1	11.1%
ô	1	11.1%
û	1	11.1%
ß	1	11.1%
·	1	11.1%

Year
Real number (ℝ)

Distinct	19
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2012.1327

Minimum	2000
Maximum	2018
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	30.9 KiB

Quantile statistics

Minimum	2000
5-th percentile	2002
Q1	2009
median	2013
Q3	2016
95-th percentile	2018
Maximum	2018
Range	18
Interquartile range (IQR)	7

Descriptive statistics

Standard deviation	4.821189
Coefficient of variation (CV)	0.0023960591
Kurtosis	-0.24720024
Mean	2012.1327
Median Absolute Deviation (MAD)	3
Skewness	-0.86509346
Sum	7927803
Variance	23.243863
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=19)

Value	Count	Frequency (%)
2017	551	14.0%
2016	457	11.6%
2014	384	9.7%
2015	346	8.8%
2013	333	8.5%
2018	231	5.9%
2012	226	5.7%
2011	224	5.7%
2010	163	4.1%
2009	137	3.5%
Other values (9)	888	22.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
2000	69	1.8%
2001	82	2.1%
2002	77	2.0%
2003	78	2.0%
2004	100	2.5%
2005	109	2.8%
2006	122	3.1%
2007	123	3.1%
2008	128	3.2%
2009	137	3.5%

Value	Count	Frequency (%)
2018	231	5.9%
2017	551	14.0%
2016	457	11.6%
2015	346	8.8%
2014	384	9.7%
2013	333	8.5%
2012	226	5.7%
2011	224	5.7%
2010	163	4.1%
2009	137	3.5%

Summary
Text

Distinct	3935
Distinct (%)	100.0%
Missing	5
Missing (%)	0.1%
Memory size	30.9 KiB

Length

Max length	1564
Median length	727
Mean length	507.68895
Min length	18

Characters and Unicode

Total characters	1997756
Distinct characters	108
Distinct categories	13 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	3935 ?
Unique (%)	100.0%

Sample

1st row	Patton Oswald, despite a personal tragedy, produces his best standup yet. Focusing on the tribulations of the Trump era and life after the loss of a loved one, Patton Oswald continues his journey to contribute joy to the world.
2nd row	A recovering alcoholic and recently converted Mormon, Arthur "Killer" Kane, of the rock band The New York Dolls, is given a chance at reuniting with his band after 30 years.
3rd row	After everyone is snowed in at the House of Mouse, Mickey suggests they throw their own Christmas party. Everyone is happy, except for Donald who just isn't in to the Christmas spirit. So Mickey shows a series of cartoons that show just what Christmas is all about. It features a star studded cast of Disney characters from everyone's favorite animated Disney movies.
4th row	The villains from the popular animated Disney films are gathered at the House of Mouse with plans to take over. Soon, the villains take over the house and kick out Mickey, Donald and Goofy. It's all up to Mickey and his friends to overthrow evil and return the House of Mouse to normal--or as close to normal as it get's.
5th row	In the cruel world of junior high, Edwin suffers in a state of anxiety and alienation alongside his only friend, Flake. Misunderstood by their families and demoralized at school daily, their fury simmers quietly until an idea for vengeance offers them a terrifying release. Based on the acclaimed novel "Project X" by Jim Shepard, this unflinching look at adolescence explores how the powerful bonds of childhood friendship and search for belonging can become a matter of life or death.

Value	Count	Frequency (%)
the	19509	5.7%
a	12073	3.5%
and	11131	3.3%
to	10782	3.1%
of	8948	2.6%
in	6246	1.8%
his	5476	1.6%
is	5209	1.5%
with	3499	1.0%
he	3349	1.0%
Other values (27924)	256251	74.8%

Most occurring characters

Value	Count	Frequency (%)
	338538	16.9%
e	193699	9.7%
t	132850	6.6%
a	128600	6.4%
i	116785	5.8%
n	115446	5.8%
o	113226	5.7%
s	106078	5.3%
r	101459	5.1%
h	87423	4.4%
Other values (98)	563652	28.2%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	1546757	77.4%
Space Separator	338538	16.9%
Uppercase Letter	54834	2.7%
Other Punctuation	45246	2.3%
Decimal Number	4886	0.2%
Dash Punctuation	4726	0.2%
Open Punctuation	1356	0.1%
Close Punctuation	1353	0.1%
Currency Symbol	43	< 0.1%
Other Symbol	8	< 0.1%
Other values (3)	9	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	193699	12.5%
t	132850	8.6%
a	128600	8.3%
i	116785	7.6%
n	115446	7.5%
o	113226	7.3%
s	106078	6.9%
r	101459	6.6%
h	87423	5.7%
l	66726	4.3%
Other values (34)	384465	24.9%

Uppercase Letter

Value	Count	Frequency (%)
A	5479	10.0%
T	4568	8.3%
S	4275	7.8%
B	3617	6.6%
M	3454	6.3%
C	3374	6.2%
H	2898	5.3%
W	2883	5.3%
D	2405	4.4%
I	2332	4.3%
Other values (18)	19549	35.7%

Other Punctuation

Value	Count	Frequency (%)
,	20244	44.7%
.	16827	37.2%
'	5245	11.6%
"	1317	2.9%
:	518	1.1%
?	506	1.1%
;	373	0.8%
!	101	0.2%
/	57	0.1%
&	36	0.1%
Other values (4)	22	< 0.1%

Decimal Number

Value	Count	Frequency (%)
1	1113	22.8%
0	971	19.9%
9	674	13.8%
2	522	10.7%
5	294	6.0%
3	280	5.7%
8	277	5.7%
4	255	5.2%
7	254	5.2%
6	246	5.0%

Open Punctuation

Value	Count	Frequency (%)
(	1355	99.9%
[	1	0.1%

Close Punctuation

Value	Count	Frequency (%)
)	1352	99.9%
]	1	0.1%

Math Symbol

Value	Count	Frequency (%)
=	3	50.0%
+	3	50.0%

Space Separator

Value	Count	Frequency (%)
	338538	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	4726	100.0%

Currency Symbol

Value	Count	Frequency (%)
$	43	100.0%

Other Symbol

Value	Count	Frequency (%)
®	8	100.0%

Modifier Symbol

Value	Count	Frequency (%)
^	2	100.0%

Other Number

Value	Count	Frequency (%)
¹	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	1601591	80.2%
Common	396165	19.8%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	193699	12.1%
t	132850	8.3%
a	128600	8.0%
i	116785	7.3%
n	115446	7.2%
o	113226	7.1%
s	106078	6.6%
r	101459	6.3%
h	87423	5.5%
l	66726	4.2%
Other values (62)	439299	27.4%

Common

Value	Count	Frequency (%)
	338538	85.5%
,	20244	5.1%
.	16827	4.2%
'	5245	1.3%
-	4726	1.2%
(	1355	0.3%
)	1352	0.3%
"	1317	0.3%
1	1113	0.3%
0	971	0.2%
Other values (26)	4477	1.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1997582	> 99.9%
None	174	< 0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	338538	16.9%
e	193699	9.7%
t	132850	6.7%
a	128600	6.4%
i	116785	5.8%
n	115446	5.8%
o	113226	5.7%
s	106078	5.3%
r	101459	5.1%
h	87423	4.4%
Other values (76)	563478	28.2%

None

Value	Count	Frequency (%)
é	90	51.7%
í	11	6.3%
è	10	5.7%
á	9	5.2%
®	8	4.6%
ó	8	4.6%
ö	5	2.9%
ñ	5	2.9%
ô	4	2.3%
ë	3	1.7%
Other values (12)	21	12.1%

Short Summary
Text

Distinct	3938
Distinct (%)	> 99.9%
Missing	1
Missing (%)	< 0.1%
Memory size	30.9 KiB

Length

Max length	831
Median length	253
Mean length	159.54202
Min length	12

Characters and Unicode

Total characters	628436
Distinct characters	94
Distinct categories	11 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	3937 ?
Unique (%)	99.9%

Sample

1st row	Patton Oswalt, despite a personal tragedy, produces his best standup yet. Focusing on the tribulations of the Trump era and life after the loss of a loved one, Oswalt continues his journey to contribute joy to the world.
2nd row	A recovering alcoholic and recently converted Mormon, Arthur "Killer" Kane, of the rock band The New York Dolls, is given a chance at reuniting with his band after 30 years.
3rd row	Mickey and all his friends hold their own Christmas party at the House of Mouse, after being snowed in.
4th row	The villains from the popular animated Disney films are gathered at the House of Mouse with plans to take over. Soon, the villains take over the house and kick out Mickey, Donald and Goofy....
5th row	In the cruel world of junior high, Edwin suffers in a state of anxiety and alienation alongside his only friend, Flake. Misunderstood by their families and demoralized at school daily, ...

Value	Count	Frequency (%)
a	6156	5.7%
the	5368	5.0%
to	3357	3.1%
of	3295	3.1%
and	2792	2.6%
in	2168	2.0%
his	1790	1.7%
is	1170	1.1%
an	1154	1.1%
with	1093	1.0%
Other values (14125)	78849	73.6%

Most occurring characters

Value	Count	Frequency (%)
	103251	16.4%
e	60271	9.6%
t	41564	6.6%
a	40910	6.5%
o	37306	5.9%
i	37025	5.9%
n	36843	5.9%
r	34914	5.6%
s	33175	5.3%
h	24864	4.0%
Other values (84)	178313	28.4%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	492500	78.4%
Space Separator	103253	16.4%
Uppercase Letter	15707	2.5%
Other Punctuation	12790	2.0%
Decimal Number	2207	0.4%
Dash Punctuation	1715	0.3%
Open Punctuation	127	< 0.1%
Close Punctuation	125	< 0.1%
Currency Symbol	9	< 0.1%
Final Punctuation	2	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	60271	12.2%
t	41564	8.4%
a	40910	8.3%
o	37306	7.6%
i	37025	7.5%
n	36843	7.5%
r	34914	7.1%
s	33175	6.7%
h	24864	5.0%
l	20073	4.1%
Other values (29)	125555	25.5%

Uppercase Letter

Value	Count	Frequency (%)
A	2825	18.0%
T	1286	8.2%
S	1145	7.3%
C	934	5.9%
B	893	5.7%
I	820	5.2%
W	811	5.2%
M	806	5.1%
D	564	3.6%
H	553	3.5%
Other values (16)	5070	32.3%

Other Punctuation

Value	Count	Frequency (%)
.	5911	46.2%
,	4841	37.8%
'	1239	9.7%
;	317	2.5%
&	293	2.3%
:	94	0.7%
?	41	0.3%
"	23	0.2%
/	17	0.1%
!	14	0.1%

Decimal Number

Value	Count	Frequency (%)
1	521	23.6%
0	438	19.8%
9	337	15.3%
2	239	10.8%
8	127	5.8%
6	119	5.4%
7	117	5.3%
5	111	5.0%
3	104	4.7%
4	94	4.3%

Space Separator

Value	Count	Frequency (%)
	103251	> 99.9%
	2	< 0.1%

Currency Symbol

Value	Count	Frequency (%)
$	8	88.9%
£	1	11.1%

Dash Punctuation

Value	Count	Frequency (%)
-	1715	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	127	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	125	100.0%

Final Punctuation

Value	Count	Frequency (%)
»	2	100.0%

Format

Value	Count	Frequency (%)
	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	508207	80.9%
Common	120229	19.1%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	60271	11.9%
t	41564	8.2%
a	40910	8.0%
o	37306	7.3%
i	37025	7.3%
n	36843	7.2%
r	34914	6.9%
s	33175	6.5%
h	24864	4.9%
l	20073	3.9%
Other values (55)	141262	27.8%

Common

Value	Count	Frequency (%)
	103251	85.9%
.	5911	4.9%
,	4841	4.0%
-	1715	1.4%
'	1239	1.0%
1	521	0.4%
0	438	0.4%
9	337	0.3%
;	317	0.3%
&	293	0.2%
Other values (19)	1366	1.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	628377	> 99.9%
None	59	< 0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	103251	16.4%
e	60271	9.6%
t	41564	6.6%
a	40910	6.5%
o	37306	5.9%
i	37025	5.9%
n	36843	5.9%
r	34914	5.6%
s	33175	5.3%
h	24864	4.0%
Other values (67)	178254	28.4%

None

Value	Count	Frequency (%)
é	32	54.2%
è	4	6.8%
á	3	5.1%
ä	3	5.1%
	2	3.4%
»	2	3.4%
ô	2	3.4%
ö	2	3.4%
í	1	1.7%
ü	1	1.7%
Other values (7)	7	11.9%

Genres
Text

Distinct	836
Distinct (%)	21.2%
Missing	0
Missing (%)	0.0%
Memory size	30.9 KiB

Length

Max length	45
Median length	35
Mean length	24.385787
Min length	3

Characters and Unicode

Total characters	96080
Distinct characters	36
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	434 ?
Unique (%)	11.0%

Sample

1st row	Uncategorized
2nd row	Documentary\|Music
3rd row	Adventure\|Animation\|Comedy\|Family\|Fantasy
4th row	Animation\|Comedy\|Family\|Fantasy\|Horror
5th row	Drama

Value	Count	Frequency (%)
drama	116	2.9%
action\|crime\|drama\|thriller	106	2.7%
action\|adventure\|animation\|comedy\|family	106	2.7%
action\|drama	103	2.6%
action\|comedy\|drama\|romance	102	2.6%
action\|comedy	83	2.1%
action\|crime\|thriller	77	2.0%
action\|drama\|romance	67	1.7%
action\|comedy\|romance	66	1.7%
documentary	64	1.6%
Other values (826)	3050	77.4%

Most occurring characters

Value	Count	Frequency (%)
\|	9417	9.8%
r	8914	9.3%
i	7492	7.8%
a	7300	7.6%
o	6927	7.2%
e	6101	6.3%
n	5660	5.9%
m	5642	5.9%
t	5557	5.8%
c	4441	4.6%
Other values (26)	28629	29.8%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	72417	75.4%
Uppercase Letter	13802	14.4%
Math Symbol	9417	9.8%
Dash Punctuation	444	0.5%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
r	8914	12.3%
i	7492	10.3%
a	7300	10.1%
o	6927	9.6%
e	6101	8.4%
n	5660	7.8%
m	5642	7.8%
t	5557	7.7%
c	4441	6.1%
y	3791	5.2%
Other values (10)	10592	14.6%

Uppercase Letter

Value	Count	Frequency (%)
A	3904	28.3%
D	2373	17.2%
C	1885	13.7%
F	1260	9.1%
T	1172	8.5%
H	693	5.0%
R	680	4.9%
M	650	4.7%
S	611	4.4%
B	365	2.6%
Other values (4)	209	1.5%

Math Symbol

Value	Count	Frequency (%)
\|	9417	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	444	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	86219	89.7%
Common	9861	10.3%

Most frequent character per script

Latin

Value	Count	Frequency (%)
r	8914	10.3%
i	7492	8.7%
a	7300	8.5%
o	6927	8.0%
e	6101	7.1%
n	5660	6.6%
m	5642	6.5%
t	5557	6.4%
c	4441	5.2%
A	3904	4.5%
Other values (24)	24281	28.2%

Common

Value	Count	Frequency (%)
\|	9417	95.5%
-	444	4.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	96080	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
\|	9417	9.8%
r	8914	9.3%
i	7492	7.8%
a	7300	7.6%
o	6927	7.2%
e	6101	6.3%
n	5660	5.9%
m	5642	5.9%
t	5557	5.8%
c	4441	4.6%
Other values (26)	28629	29.8%

IMDB ID
Text

UNIQUE

Distinct	3940
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	30.9 KiB

Length

Max length	9
Median length	9
Mean length	9
Min length	9

Characters and Unicode

Total characters	35460
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	3940 ?
Unique (%)	100.0%

Sample

1st row	tt7026230
2nd row	tt0436629
3rd row	tt0300195
4th row	tt0329374
5th row	tt2018111

Value	Count	Frequency (%)
tt7026230	1	< 0.1%
tt0841046	1	< 0.1%
tt6413410	1	< 0.1%
tt0300195	1	< 0.1%
tt0329374	1	< 0.1%
tt2018111	1	< 0.1%
tt0208185	1	< 0.1%
tt5117670	1	< 0.1%
tt0996605	1	< 0.1%
tt7614404	1	< 0.1%
Other values (3930)	3930	99.7%

Most occurring characters

Value	Count	Frequency (%)
t	7880	22.2%
0	3501	9.9%
2	3334	9.4%
1	3213	9.1%
4	2920	8.2%
3	2859	8.1%
6	2622	7.4%
8	2460	6.9%
5	2362	6.7%
7	2255	6.4%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	27580	77.8%
Lowercase Letter	7880	22.2%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	3501	12.7%
2	3334	12.1%
1	3213	11.6%
4	2920	10.6%
3	2859	10.4%
6	2622	9.5%
8	2460	8.9%
5	2362	8.6%
7	2255	8.2%
9	2054	7.4%

Lowercase Letter

Value	Count	Frequency (%)
t	7880	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	27580	77.8%
Latin	7880	22.2%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	3501	12.7%
2	3334	12.1%
1	3213	11.6%
4	2920	10.6%
3	2859	10.4%
6	2622	9.5%
8	2460	8.9%
5	2362	8.6%
7	2255	8.2%
9	2054	7.4%

Latin

Value	Count	Frequency (%)
t	7880	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	35460	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
t	7880	22.2%
0	3501	9.9%
2	3334	9.4%
1	3213	9.1%
4	2920	8.2%
3	2859	8.1%
6	2622	7.4%
8	2460	6.9%
5	2362	6.7%
7	2255	6.4%

Runtime
Real number (ℝ)

ZEROS

Distinct	145
Distinct (%)	3.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	100.35355

Minimum	0
Maximum	338
Zeros	193
Zeros (%)	4.9%
Negative	0
Negative (%)	0.0%
Memory size	30.9 KiB

Quantile statistics

Minimum	0
5-th percentile	19.4
Q1	91
median	102
Q3	115
95-th percentile	139
Maximum	338
Range	338
Interquartile range (IQR)	24

Descriptive statistics

Standard deviation	29.798215
Coefficient of variation (CV)	0.29693234
Kurtosis	5.5394072
Mean	100.35355
Median Absolute Deviation (MAD)	11
Skewness	-1.3886772
Sum	395393
Variance	887.93361
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	193	4.9%
90	154	3.9%
92	106	2.7%
100	104	2.6%
97	104	2.6%
95	99	2.5%
98	97	2.5%
105	96	2.4%
101	95	2.4%
107	95	2.4%
Other values (135)	2797	71.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	193	4.9%
3	1	< 0.1%
5	1	< 0.1%
6	1	< 0.1%
8	1	< 0.1%
20	1	< 0.1%
22	1	< 0.1%
26	2	0.1%
27	2	0.1%
30	2	0.1%

Value	Count	Frequency (%)
338	1	< 0.1%
226	1	< 0.1%
219	1	< 0.1%
201	1	< 0.1%
190	1	< 0.1%
187	1	< 0.1%
184	1	< 0.1%
183	1	< 0.1%
180	7	0.2%
179	1	< 0.1%

YouTube Trailer
Text

MISSING

Distinct	3883
Distinct (%)	99.7%
Missing	47
Missing (%)	1.2%
Memory size	30.9 KiB

Length

Max length	20
Median length	11
Mean length	11.003339
Min length	11

Characters and Unicode

Total characters	42836
Distinct characters	67
Distinct categories	6 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	3880 ?
Unique (%)	99.7%

Sample

1st row	4hZi5QaMBFc
2nd row	jwD04NsnLLg
3rd row	uCKwHHftrU4
4th row	JA03ciYt-Ek
5th row	8CdIiD6-iF0

Value	Count	Frequency (%)
uky3scpimd8	9	0.2%
gdlxpv5nsa4	2	0.1%
c95ulpfzhxk	2	0.1%
lti0vfcpzns	1	< 0.1%
1m5cj4umsce	1	< 0.1%
oboyytto5sg	1	< 0.1%
4yzjtnj8y3u	1	< 0.1%
dwrkl2bjtgq	1	< 0.1%
ca6buyvkqoe	1	< 0.1%
uckwhhftru4	1	< 0.1%
Other values (3873)	3873	99.5%

Most occurring characters

Value	Count	Frequency (%)
M	895	2.1%
Y	890	2.1%
U	883	2.1%
E	866	2.0%
c	866	2.0%
I	865	2.0%
g	863	2.0%
k	861	2.0%
8	859	2.0%
4	848	2.0%
Other values (57)	34140	79.7%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	17618	41.1%
Lowercase Letter	17157	40.1%
Decimal Number	6774	15.8%
Dash Punctuation	686	1.6%
Connector Punctuation	596	1.4%
Other Punctuation	5	< 0.1%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
M	895	5.1%
Y	890	5.1%
U	883	5.0%
E	866	4.9%
I	865	4.9%
Q	829	4.7%
A	826	4.7%
C	633	3.6%
S	631	3.6%
J	622	3.5%
Other values (16)	9678	54.9%

Lowercase Letter

Value	Count	Frequency (%)
c	866	5.0%
g	863	5.0%
k	861	5.0%
s	847	4.9%
o	824	4.8%
w	813	4.7%
e	654	3.8%
x	636	3.7%
t	635	3.7%
h	626	3.6%
Other values (16)	9532	55.6%

Decimal Number

Value	Count	Frequency (%)
8	859	12.7%
4	848	12.5%
0	842	12.4%
1	618	9.1%
6	617	9.1%
5	616	9.1%
3	611	9.0%
7	601	8.9%
9	588	8.7%
2	574	8.5%

Other Punctuation

Value	Count	Frequency (%)
/	2	40.0%
.	2	40.0%
:	1	20.0%

Dash Punctuation

Value	Count	Frequency (%)
-	686	100.0%

Connector Punctuation

Value	Count	Frequency (%)
_	596	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	34775	81.2%
Common	8061	18.8%

Most frequent character per script

Latin

Value	Count	Frequency (%)
M	895	2.6%
Y	890	2.6%
U	883	2.5%
E	866	2.5%
c	866	2.5%
I	865	2.5%
g	863	2.5%
k	861	2.5%
s	847	2.4%
Q	829	2.4%
Other values (42)	26110	75.1%

Common

Value	Count	Frequency (%)
8	859	10.7%
4	848	10.5%
0	842	10.4%
-	686	8.5%
1	618	7.7%
6	617	7.7%
5	616	7.6%
3	611	7.6%
7	601	7.5%
_	596	7.4%
Other values (5)	1167	14.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	42836	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
M	895	2.1%
Y	890	2.1%
U	883	2.1%
E	866	2.0%
c	866	2.0%
I	865	2.0%
g	863	2.0%
k	861	2.0%
8	859	2.0%
4	848	2.0%
Other values (57)	34140	79.7%

Rating
Real number (ℝ)

Distinct	72
Distinct (%)	1.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	6.5556853

Minimum	1.7
Maximum	9.5
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	30.9 KiB

Quantile statistics

Minimum	1.7
5-th percentile	5.1
Q1	6.1
median	6.6
Q3	7.1
95-th percentile	7.9
Maximum	9.5
Range	7.8
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	0.89257219
Coefficient of variation (CV)	0.13615239
Kurtosis	2.1733308
Mean	6.5556853
Median Absolute Deviation (MAD)	0.5
Skewness	-0.77581929
Sum	25829.4
Variance	0.79668511
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
6.2	224	5.7%
6.4	209	5.3%
6.3	208	5.3%
6.7	203	5.2%
6.5	202	5.1%
6.6	198	5.0%
7.1	191	4.8%
6.1	190	4.8%
6.8	177	4.5%
6	157	4.0%
Other values (62)	1981	50.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1.7	2	0.1%
2	1	< 0.1%
2.2	1	< 0.1%
2.3	1	< 0.1%
2.4	2	0.1%
2.5	3	0.1%
2.6	1	< 0.1%
2.7	2	0.1%
2.8	2	0.1%
2.9	1	< 0.1%

Value	Count	Frequency (%)
9.5	1	< 0.1%
9	1	< 0.1%
8.9	1	< 0.1%
8.8	3	0.1%
8.7	5	0.1%
8.6	5	0.1%
8.5	11	0.3%
8.4	11	0.3%
8.3	15	0.4%
8.2	22	0.6%

Movie Poster
Text

Distinct	3932
Distinct (%)	99.8%
Missing	0
Missing (%)	0.0%
Memory size	30.9 KiB

Length

Max length	150
Median length	121
Mean length	83.288832
Min length	69

Characters and Unicode

Total characters	328158
Distinct characters	72
Distinct categories	5 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	3924 ?
Unique (%)	99.6%

Sample

1st row	https://hydramovies.com/wp-content/uploads/2018/04/Patton-Oswalt-Annihilation-Movie-Poster.jpg
2nd row	https://hydramovies.com/wp-content/uploads/2018/04/New-York-Doll-Movie-Poster.jpg
3rd row	https://hydramovies.com/wp-content/uploads/2018/04/Mickeys-Magical-Christmas-Snowed-in-at-the-House-of-Mouse-Movie-Poster.jpg
4th row	https://hydramovies.com/wp-content/uploads/2018/04/Mickeys-House-of-Villains-Movie-Poster.jpg
5th row	https://hydramovies.com/wp-content/uploads/2018/04/And-Then-I-Go-Movie-Poster.jpg

Value	Count	Frequency (%)
https://hydramovies.com/wp-content/uploads/2018/05/extinction-movie-poster.jpg	2	0.1%
https://hydramovies.com/wp-content/uploads/2018/04/the-outsider-movie-poster.jpg	2	0.1%
https://hydramovies.com/wp-content/uploads/2018/04/restless-movie-poster.jpg	2	0.1%
https://hydramovies.com/wp-content/uploads/2018/04/gold-movie-poster.jpg	2	0.1%
https://hydramovies.com/wp-content/uploads/2018/04/youth-movie-poster.jpg	2	0.1%
https://hydramovies.com/wp-content/uploads/2018/04/the-colony-movie-poster.jpg	2	0.1%
https://hydramovies.com/wp-content/uploads/2018/04/gifted-movie-poster.jpg	2	0.1%
https://hydramovies.com/wp-content/uploads/2018/04/beyond-the-edge-movie-poster.jpg	2	0.1%
https://hydramovies.com/wp-content/uploads/2018/04/love-songs-movie-poster.jpg	1	< 0.1%
https://hydramovies.com/wp-content/uploads/2018/04/the-secret-rules-of-modern-living-algorithms-movie-poster.jpg	1	< 0.1%
Other values (3922)	3922	99.5%

Most occurring characters

Value	Count	Frequency (%)
/	27580	8.4%
o	27290	8.3%
t	22713	6.9%
e	21972	6.7%
-	18863	5.7%
s	18102	5.5%
p	16323	5.0%
a	11663	3.6%
n	11298	3.4%
r	11128	3.4%
Other values (62)	141226	43.0%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	228140	69.5%
Other Punctuation	39500	12.0%
Decimal Number	24116	7.3%
Dash Punctuation	18863	5.7%
Uppercase Letter	17539	5.3%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
o	27290	12.0%
t	22713	10.0%
e	21972	9.6%
s	18102	7.9%
p	16323	7.2%
a	11663	5.1%
n	11298	5.0%
r	11128	4.9%
i	11089	4.9%
h	10192	4.5%
Other values (21)	66370	29.1%

Uppercase Letter

Value	Count	Frequency (%)
M	4602	26.2%
P	4318	24.6%
T	1332	7.6%
S	842	4.8%
B	659	3.8%
A	543	3.1%
D	532	3.0%
C	527	3.0%
L	450	2.6%
W	425	2.4%
Other values (16)	3309	18.9%

Decimal Number

Value	Count	Frequency (%)
0	7926	32.9%
8	4096	17.0%
2	4088	17.0%
1	4034	16.7%
4	2836	11.8%
5	600	2.5%
6	178	0.7%
7	168	0.7%
9	118	0.5%
3	72	0.3%

Other Punctuation

Value	Count	Frequency (%)
/	27580	69.8%
.	7979	20.2%
:	3940	10.0%
·	1	< 0.1%

Dash Punctuation

Value	Count	Frequency (%)
-	18863	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	245679	74.9%
Common	82479	25.1%

Most frequent character per script

Latin

Value	Count	Frequency (%)
o	27290	11.1%
t	22713	9.2%
e	21972	8.9%
s	18102	7.4%
p	16323	6.6%
a	11663	4.7%
n	11298	4.6%
r	11128	4.5%
i	11089	4.5%
h	10192	4.1%
Other values (47)	83909	34.2%

Common

Value	Count	Frequency (%)
/	27580	33.4%
-	18863	22.9%
.	7979	9.7%
0	7926	9.6%
8	4096	5.0%
2	4088	5.0%
1	4034	4.9%
:	3940	4.8%
4	2836	3.4%
5	600	0.7%
Other values (5)	537	0.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	328149	> 99.9%
None	9	< 0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
/	27580	8.4%
o	27290	8.3%
t	22713	6.9%
e	21972	6.7%
-	18863	5.7%
s	18102	5.5%
p	16323	5.0%
a	11663	3.6%
n	11298	3.4%
r	11128	3.4%
Other values (56)	141217	43.0%

None

Value	Count	Frequency (%)
é	4	44.4%
ß	1	11.1%
û	1	11.1%
ô	1	11.1%
ä	1	11.1%
·	1	11.1%

Director
Text

Distinct	2403
Distinct (%)	61.0%
Missing	0
Missing (%)	0.0%
Memory size	30.9 KiB

Length

Max length	141
Median length	104
Mean length	13.317259
Min length	2

Characters and Unicode

Total characters	52470
Distinct characters	79
Distinct categories	5 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1688 ?
Unique (%)	42.8%

Sample

1st row	Bobcat Goldthwait
2nd row	Greg Whiteley
3rd row	Tony Craig
4th row	Jamie Mitchell
5th row	Vincent Grashaw

Value	Count	Frequency (%)
david	128	1.5%
john	92	1.1%
michael	85	1.0%
james	68	0.8%
peter	60	0.7%
scott	59	0.7%
paul	56	0.7%
robert	48	0.6%
steven	46	0.6%
mark	39	0.5%
Other values (3167)	7614	91.8%

Most occurring characters

Value	Count	Frequency (%)
e	4844	9.2%
a	4482	8.5%
	4355	8.3%
n	3749	7.1%
r	3416	6.5%
i	3103	5.9%
o	3093	5.9%
l	2335	4.5%
t	1937	3.7%
s	1830	3.5%
Other values (69)	19326	36.8%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	39417	75.1%
Uppercase Letter	8379	16.0%
Space Separator	4355	8.3%
Other Punctuation	234	0.4%
Dash Punctuation	85	0.2%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	4844	12.3%
a	4482	11.4%
n	3749	9.5%
r	3416	8.7%
i	3103	7.9%
o	3093	7.8%
l	2335	5.9%
t	1937	4.9%
s	1830	4.6%
h	1544	3.9%
Other values (33)	9084	23.0%

Uppercase Letter

Value	Count	Frequency (%)
S	795	9.5%
M	742	8.9%
J	738	8.8%
C	559	6.7%
B	540	6.4%
A	522	6.2%
R	516	6.2%
D	511	6.1%
G	425	5.1%
L	409	4.9%
Other values (21)	2622	31.3%

Other Punctuation

Value	Count	Frequency (%)
.	208	88.9%
'	24	10.3%
?	2	0.9%

Space Separator

Value	Count	Frequency (%)
	4355	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	85	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	47796	91.1%
Common	4674	8.9%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	4844	10.1%
a	4482	9.4%
n	3749	7.8%
r	3416	7.1%
i	3103	6.5%
o	3093	6.5%
l	2335	4.9%
t	1937	4.1%
s	1830	3.8%
h	1544	3.2%
Other values (64)	17463	36.5%

Common

Value	Count	Frequency (%)
	4355	93.2%
.	208	4.5%
-	85	1.8%
'	24	0.5%
?	2	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	52309	99.7%
None	161	0.3%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	4844	9.3%
a	4482	8.6%
	4355	8.3%
n	3749	7.2%
r	3416	6.5%
i	3103	5.9%
o	3093	5.9%
l	2335	4.5%
t	1937	3.7%
s	1830	3.5%
Other values (47)	19165	36.6%

None

Value	Count	Frequency (%)
é	34	21.1%
á	28	17.4%
ö	18	11.2%
ó	15	9.3%
ô	10	6.2%
í	9	5.6%
å	9	5.6%
ç	7	4.3%
è	6	3.7%
ñ	5	3.1%
Other values (12)	20	12.4%

Writers
Text

Distinct	2883
Distinct (%)	73.5%
Missing	18
Missing (%)	0.5%
Memory size	30.9 KiB

Length

Max length	32
Median length	26
Mean length	13.164457
Min length	2

Characters and Unicode

Total characters	51631
Distinct characters	77
Distinct categories	6 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	2303 ?
Unique (%)	58.7%

Sample

1st row	Patton Oswalt
2nd row	Arthur Kane
3rd row	Thomas Hart
4th row	Thomas Hart
5th row	Brett Haley

Value	Count	Frequency (%)
david	110	1.3%
michael	103	1.3%
john	91	1.1%
james	61	0.7%
paul	59	0.7%
mark	56	0.7%
peter	52	0.6%
scott	50	0.6%
robert	48	0.6%
jonathan	43	0.5%
Other values (3456)	7543	91.8%

Most occurring characters

Value	Count	Frequency (%)
e	4634	9.0%
a	4531	8.8%
	4294	8.3%
n	3765	7.3%
r	3306	6.4%
o	3075	6.0%
i	3044	5.9%
l	2397	4.6%
t	1853	3.6%
s	1759	3.4%
Other values (67)	18973	36.7%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	38595	74.8%
Uppercase Letter	8409	16.3%
Space Separator	4294	8.3%
Other Punctuation	263	0.5%
Dash Punctuation	69	0.1%
Math Symbol	1	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	4634	12.0%
a	4531	11.7%
n	3765	9.8%
r	3306	8.6%
o	3075	8.0%
i	3044	7.9%
l	2397	6.2%
t	1853	4.8%
s	1759	4.6%
h	1604	4.2%
Other values (31)	8627	22.4%

Uppercase Letter

Value	Count	Frequency (%)
J	768	9.1%
M	745	8.9%
S	697	8.3%
B	649	7.7%
C	624	7.4%
A	554	6.6%
D	503	6.0%
R	436	5.2%
L	421	5.0%
G	419	5.0%
Other values (21)	2593	30.8%

Other Punctuation

Value	Count	Frequency (%)
.	234	89.0%
'	29	11.0%

Space Separator

Value	Count	Frequency (%)
	4294	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	69	100.0%

Math Symbol

Value	Count	Frequency (%)
\|	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	47004	91.0%
Common	4627	9.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	4634	9.9%
a	4531	9.6%
n	3765	8.0%
r	3306	7.0%
o	3075	6.5%
i	3044	6.5%
l	2397	5.1%
t	1853	3.9%
s	1759	3.7%
h	1604	3.4%
Other values (62)	17036	36.2%

Common

Value	Count	Frequency (%)
	4294	92.8%
.	234	5.1%
-	69	1.5%
'	29	0.6%
\|	1	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	51554	99.9%
None	77	0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	4634	9.0%
a	4531	8.8%
	4294	8.3%
n	3765	7.3%
r	3306	6.4%
o	3075	6.0%
i	3044	5.9%
l	2397	4.6%
t	1853	3.6%
s	1759	3.4%
Other values (47)	18896	36.7%

None

Value	Count	Frequency (%)
é	17	22.1%
á	16	20.8%
ó	10	13.0%
ô	8	10.4%
í	4	5.2%
ñ	3	3.9%
Ö	2	2.6%
Ó	2	2.6%
ü	2	2.6%
Á	2	2.6%
Other values (10)	11	14.3%

Cast
Text

Distinct	3826
Distinct (%)	97.7%
Missing	24
Missing (%)	0.6%
Memory size	30.9 KiB

Length

Max length	63
Median length	51
Mean length	35.199949
Min length	5

Characters and Unicode

Total characters	137843
Distinct characters	85
Distinct categories	6 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	3758 ?
Unique (%)	96.0%

Sample

1st row	Patton Oswalt
2nd row	Sylvain Sylvain
3rd row	Carlos Alazraqui\|Wayne Allwine
4th row	Tony Anselmo\|Wayne Allwine
5th row	Arman Darbo\|Sawyer Barth

Value	Count	Frequency (%)
ben	73	0.5%
chris	68	0.5%
adam	60	0.4%
david	58	0.4%
james	56	0.4%
jason	53	0.4%
john	51	0.4%
daniel	49	0.3%
de	45	0.3%
aaron	40	0.3%
Other values (8961)	13964	96.2%

Most occurring characters

Value	Count	Frequency (%)
e	12195	8.8%
a	12150	8.8%
	10601	7.7%
n	9883	7.2%
i	8209	6.0%
r	7752	5.6%
o	7430	5.4%
l	6752	4.9%
\|	6145	4.5%
s	4801	3.5%
Other values (75)	51925	37.7%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	99456	72.2%
Uppercase Letter	21183	15.4%
Space Separator	10601	7.7%
Math Symbol	6145	4.5%
Other Punctuation	250	0.2%
Dash Punctuation	208	0.2%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	12195	12.3%
a	12150	12.2%
n	9883	9.9%
i	8209	8.3%
r	7752	7.8%
o	7430	7.5%
l	6752	6.8%
s	4801	4.8%
t	4751	4.8%
h	3850	3.9%
Other values (38)	21683	21.8%

Uppercase Letter

Value	Count	Frequency (%)
J	1856	8.8%
M	1842	8.7%
C	1688	8.0%
S	1651	7.8%
B	1563	7.4%
A	1336	6.3%
R	1259	5.9%
D	1195	5.6%
H	986	4.7%
K	932	4.4%
Other values (20)	6875	32.5%

Other Punctuation

Value	Count	Frequency (%)
.	176	70.4%
'	72	28.8%
&	1	0.4%
;	1	0.4%

Space Separator

Value	Count	Frequency (%)
	10601	100.0%

Math Symbol

Value	Count	Frequency (%)
\|	6145	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	208	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	120639	87.5%
Common	17204	12.5%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	12195	10.1%
a	12150	10.1%
n	9883	8.2%
i	8209	6.8%
r	7752	6.4%
o	7430	6.2%
l	6752	5.6%
s	4801	4.0%
t	4751	3.9%
h	3850	3.2%
Other values (68)	42866	35.5%

Common

Value	Count	Frequency (%)
	10601	61.6%
\|	6145	35.7%
-	208	1.2%
.	176	1.0%
'	72	0.4%
&	1	< 0.1%
;	1	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	137553	99.8%
None	290	0.2%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	12195	8.9%
a	12150	8.8%
	10601	7.7%
n	9883	7.2%
i	8209	6.0%
r	7752	5.6%
o	7430	5.4%
l	6752	4.9%
\|	6145	4.5%
s	4801	3.5%
Other values (49)	51635	37.5%

None

Value	Count	Frequency (%)
é	91	31.4%
í	27	9.3%
ô	26	9.0%
á	22	7.6%
ë	16	5.5%
ñ	14	4.8%
ü	13	4.5%
å	12	4.1%
è	10	3.4%
û	9	3.1%
Other values (16)	50	17.2%

Auto

Heatmap
Table

	Rating	Runtime	Year
Rating	1.000	0.294	-0.249
Runtime	0.294	1.000	-0.128
Year	-0.249	-0.128	1.000

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

First rows
Last rows

	Title	Year	Summary	Short Summary	Genres	IMDB ID	Runtime	YouTube Trailer	Rating	Movie Poster	Director	Writers	Cast
0	Patton Oswalt: Annihilation	2017	Patton Oswald, despite a personal tragedy, produces his best standup yet. Focusing on the tribulations of the Trump era and life after the loss of a loved one, Patton Oswald continues his journey to contribute joy to the world.	Patton Oswalt, despite a personal tragedy, produces his best standup yet. Focusing on the tribulations of the Trump era and life after the loss of a loved one, Oswalt continues his journey to contribute joy to the world.	Uncategorized	tt7026230	66	4hZi5QaMBFc	7.4	https://hydramovies.com/wp-content/uploads/2018/04/Patton-Oswalt-Annihilation-Movie-Poster.jpg	Bobcat Goldthwait	Patton Oswalt	Patton Oswalt
1	New York Doll	2005	A recovering alcoholic and recently converted Mormon, Arthur "Killer" Kane, of the rock band The New York Dolls, is given a chance at reuniting with his band after 30 years.	A recovering alcoholic and recently converted Mormon, Arthur "Killer" Kane, of the rock band The New York Dolls, is given a chance at reuniting with his band after 30 years.	Documentary\|Music	tt0436629	75	jwD04NsnLLg	7.9	https://hydramovies.com/wp-content/uploads/2018/04/New-York-Doll-Movie-Poster.jpg	Greg Whiteley	Arthur Kane	Sylvain Sylvain
2	Mickey's Magical Christmas: Snowed in at the House of Mouse	2001	After everyone is snowed in at the House of Mouse, Mickey suggests they throw their own Christmas party. Everyone is happy, except for Donald who just isn't in to the Christmas spirit. So Mickey shows a series of cartoons that show just what Christmas is all about. It features a star studded cast of Disney characters from everyone's favorite animated Disney movies.	Mickey and all his friends hold their own Christmas party at the House of Mouse, after being snowed in.	Adventure\|Animation\|Comedy\|Family\|Fantasy	tt0300195	65	uCKwHHftrU4	6.8	https://hydramovies.com/wp-content/uploads/2018/04/Mickeys-Magical-Christmas-Snowed-in-at-the-House-of-Mouse-Movie-Poster.jpg	Tony Craig	Thomas Hart	Carlos Alazraqui\|Wayne Allwine
3	Mickey's House of Villains	2001	The villains from the popular animated Disney films are gathered at the House of Mouse with plans to take over. Soon, the villains take over the house and kick out Mickey, Donald and Goofy. It's all up to Mickey and his friends to overthrow evil and return the House of Mouse to normal--or as close to normal as it get's.	The villains from the popular animated Disney films are gathered at the House of Mouse with plans to take over. Soon, the villains take over the house and kick out Mickey, Donald and Goofy....	Animation\|Comedy\|Family\|Fantasy\|Horror	tt0329374	0	JA03ciYt-Ek	6.6	https://hydramovies.com/wp-content/uploads/2018/04/Mickeys-House-of-Villains-Movie-Poster.jpg	Jamie Mitchell	Thomas Hart	Tony Anselmo\|Wayne Allwine
4	And Then I Go	2017	In the cruel world of junior high, Edwin suffers in a state of anxiety and alienation alongside his only friend, Flake. Misunderstood by their families and demoralized at school daily, their fury simmers quietly until an idea for vengeance offers them a terrifying release. Based on the acclaimed novel "Project X" by Jim Shepard, this unflinching look at adolescence explores how the powerful bonds of childhood friendship and search for belonging can become a matter of life or death.	In the cruel world of junior high, Edwin suffers in a state of anxiety and alienation alongside his only friend, Flake. Misunderstood by their families and demoralized at school daily, ...	Drama	tt2018111	99	8CdIiD6-iF0	7.6	https://hydramovies.com/wp-content/uploads/2018/04/And-Then-I-Go-Movie-Poster.jpg	Vincent Grashaw	Brett Haley	Arman Darbo\|Sawyer Barth
5	An Extremely Goofy Movie	2000	It's a big time in Max's life. He's college bound with his friends and finally free of his embarrassing father as he strives to be a top contender for the X-Games. Unfortunately, Goofy loses his job and learns that he cannot get another job without a college degree. To his son's mortification, Goofy decides to join him in his campus to get that degree. Desperate to distract his father, Max talks him into joining the competing Gamma Fraternity team and introduces him to a wonderful librarian who shares his nostalgic love for 1970's pastimes. Unfortunately, things do not go according to plan as events put this father-son relationship to the test.	Max goes to college, but to his embarassment his father loses his job and goes to his son's campus.	Animation\|Comedy\|Family\|Sport	tt0208185	79	H8oSvldAGfg	6.4	https://hydramovies.com/wp-content/uploads/2018/04/An-Extremely-Goofy-Movie-Movie-Poster.jpg	Douglas McCarthy	Scott Spencer Gorden	Bill Farmer\|Jason Marsden\|Jeff Bennett
6	Peter Rabbit	2018	Based on the books by Beatrix Potter: Peter Rabbit (James Corden;) his three sisters: Flopsy (Margot Robbie,) Mopsy (Elizabeth Debicki) and Cotton Tail (Daisy Ridley) and their cousin Benjamin (Colin Moody) enjoy their days harassing Mr McGregor in his vegetable garden. Until one day he dies and no one can stop them roaming across his house and lands for a full day or so. However, when one of Mr McGregor's relatives inherits the house and goes to check it out, he finds much more than he bargained for. What ensues, is a battle of wills between the new Mr McGregor and the rabbits. But when he starts to fall in love with Bea (Rose Byrne,) a real lover of all nature, his feelings towards them begin to change. But is it too late?	Feature adaptation of Beatrix Potter's classic tale of a rebellious rabbit trying to sneak into a farmer's vegetable garden.	Adventure\|Animation\|Comedy\|Family\|Fantasy	tt5117670	95	7Pa_Weidt08	6.6	https://hydramovies.com/wp-content/uploads/2018/04/Peter-Rabbit-Movie-Poster.jpg	Will Gluck	Rob Lieber	Fayssal Bazzi\|James Corden
7	Love Songs	2007	Julie's boyfriend Ismaël lives with her; rather than worry about the time he spends with his colleague Alice, Julie invites Alice to join them. The three walk the streets of Paris, party, read, and sleep together. Sometimes it's lighthearted, sometimes there are jealousies. Then death strikes. In various ways, those left come to terms with the departure and absence of a loved one: showing concern, eating together, attempting new relationships, trying to "be there" for the other. Then, the spirit returns and new commitments are possible. The romantic elements of musical comedy play in contrast to the ambivalence of the lyrics and the story.	A musical interpretation of three lovers living in Paris.	Uncategorized	tt0996605	91	s54vpKAFmS0	7.2	https://hydramovies.com/wp-content/uploads/2018/04/Love-Songs-Movie-Poster.jpg	Christophe Honoré	Christophe Honoré	Clotilde Hesme\|Louis Garrel\|Ludivine Sagnier
8	89	2017	89 tells the incredible story of one of football's greatest triumphs: when against all odds Arsenal snatched the Championship title from Liverpool at Anfield in the last minute of the last game of the 1988/89 season. It's a universal tale of a band of brothers who, led by a charismatic and deeply respected manager, came together to defy the odds and create history. Mixing archive and previously unseen footage with revealing interviews, insights and memories from the original squad, game officials, famous fans and the people who were there on the night this is the definitive account of a watershed moment in football and a must-watch for any sports fan.	The true story of a sporting miracle, when Arsenal went to Anfield on the last day of the 1988/89 season needing to beat the best team in England by two clear goals to snatch the title.	Uncategorized	tt7614404	91	5hfAExhHTMM	8.1	https://hydramovies.com/wp-content/uploads/2018/04/89-Movie-Poster.jpg	Dave Stewart	Lee Dixon	Ian Wright
9	The Foster Boy	2011	The illegitimate orphan child, 12-year-old Max, is sold by the local minister for a basket of food to the Bösiger family, who own a mountain farm. Max' initial hope of finally finding a loving home is brutally shattered: The farmer and his wife treat Max like livestock, and their son Jacob humiliates and abuses him. Only the local teacher notices the child suffering on the farm.	A Swiss-German rural peasant family takes Max, a crude 15-year-old boy, into a foster situation of constant bullying. Soon, a foster girl is added to the mix.	Drama	tt2057931	107	E9Qv_XVJ-js	7.4	https://hydramovies.com/wp-content/uploads/2018/04/The-Foster-Boy-Movie-Poster.jpg	Markus Imboden	Plinio Bachmann	Katja Riemann\|Maximilian Simonischek\|Stefan Kurt

	Title	Year	Summary	Short Summary	Genres	IMDB ID	Runtime	YouTube Trailer	Rating	Movie Poster	Director	Writers	Cast
3930	The Child in Time	2017	Children's author Stephen Lewis is shopping with 4-year old daughter Kate when she suddenly disappears. Failure to find her puts a strain on his marriage, his wife Julie leaving to live in a seaside village, though Stephen regularly visits her. Stephen continues to write but is asked by the prime minister to check on his best friend Charles Dark, who has resigned his cabinet membership to live in an isolated woodland retreat with his wife Thelma. Stephen is perturbed by Charles' apparent regression to childhood, reminding him of his own loss and, returning to London, erroneously believes that another little girl is Kate. Three years after the disappearance Thelma asks Stephen, still keeping Kate's room for her, for help with the increasingly disturbed Charles, leading to a shocking discovery though a later phone call from Julie provides a new beginning for them both.	The life of a children's book author is turned upside down when his daughter goes missing.	Drama	tt6540078	82	DuPXdnSWoLk	6.1	https://hydramovies.com/wp-content/uploads/2018/09/The-Child-in-Time-Movie-Poster.jpg	Julian Farino	Ian McEwan	Benedict Cumberbatch\|Kelly Macdonald\|Stephen Campbell Moore
3931	Mr. Magorium's Wonder Emporium	2007	Molly Mahoney is the manager of Mr. Magorium's Wonder Emporium, the awesome toy store owned by Mr. Edward Magorium. Molly was a promising composer and piano player when she was a girl, and now she is a twenty-three year-old insecure woman who feels stuck in her job. Among the costumers of the Emporium is the lonely hat collector, Eric Applebaum, who has only Molly and Mr. Magorium for friends. When the last pair of shoes that Mr. Magorium bought in Toscana is worn, he hires the accountant, Henry Weston to adjust the accounts of the Emporium. Furthermore, he claims that he is two hundred and forty-three years old and his time to go has come; he gives a block of wood called Congreve cube to Molly and asks Henry to transfer the Emporium to her name. Molly tries to convince Mr. Magorium to stay in his magical toy store instead of "going".	Molly Mahoney is the awkward and insecure manager of Mr. Magorium's Wonder Emporium, the strangest, most fantastic, most wonderful toy store in the world. But when Mr. Magorium, the 243-year-old eccentric who owns the store, bequeaths the store to her, a dark and ominous change begins to take over the once-remarkable Emporium.	Comedy\|Family\|Fantasy	tt0457419	93	m4Mrga2aSL0	6.2	https://hydramovies.com/wp-content/uploads/2018/09/Mr.-Magoriums-Wonder-Emporium-Movie-Poster.jpg	Zach Helm	Zach Helm	Dustin Hoffman\|Jason Bateman\|Natalie Portman
3932	High Fantasy	2017	A group of young friends on a camping trip, deep in the South African countryside wake up to discover they have all swapped bodies. Their individual cultural heritage and experience of these strange happenings couldn't be more different; and stranded in the wilderness, they will have to navigate a personal-political labyrinth if their friendship and their lives are ever to be the same again. The stage is set for comedy to turn to tragedy, for the fantasy of South Africa's "Rainbow Nation" to become a painful awakening.	A group of young friends on a camping trip, deep in the South African countryside wake up to discover they have all swapped bodies.	Comedy\|Drama	tt7284066	71	MdPl_FdYbWM	5.4	https://hydramovies.com/wp-content/uploads/2018/09/High-Fantasy-Movie-Poster.jpg	Jenna Cato Bass	Liza Scholtz	Francesca Varrie Michel\|Nala Khumalo\|Qondiswa James
3933	Curve	2015	Mallory Rutledge is driving her fiancé's truck to Denver to meet him and get married. While driving in the lonely road, she talks to her sister Ella and decides to take a detour to visit the Grand Canyon. Out of the blue, the truck stops and Mallory can get no service in her cell phone. However the gentle drifter Christian Laughton offers to fix the car and Mallory accepts. Then she offers a ride to him and when she is driving, he says pornography to her. She asks him to leave but he shows a knife and tells her to go to a derelict motel. Mallory sees that the psychopath Christian is not wearing the seat bell and decides to throw the truck off the road in a curve. But the leg of Mallory is trapped in the overturned car and Christian leaves her without any help, in the beginning of Mallory's worst nightmare. Will she escape from the vehicle and from the psychopath?	A young woman becomes trapped in her car after a hitchhiker causes her to have an automobile accident.	Horror\|Thriller	tt3212904	81	lPlunQ3rzV4	5.4	https://hydramovies.com/wp-content/uploads/2018/09/Curve-Movie-Poster.jpg	Iain Softley	Kimberly Lofstrom Johnson	Julianne Hough\|Penelope Mitchell\|Teddy Sears
3934	Office Uprising	2018	An employee at a weapons factory discovers that an energy drink turns his co-workers into zombies	An employee at a weapons factory discovers that an energy drink turns his co-workers into zombies	Action\|Comedy\|Horror	tt6251024	92	IfKhTnK_IBA	6.9	https://hydramovies.com/wp-content/uploads/2018/09/Office-Uprising-Movie-Poster.jpg	Lin Oeding	Peter Gamble Robinson	Brenton Thwaites\|Jane Levy\|Karan Soni
3935	Skyscraper	2018	FBI Hostage Rescue Team leader and U.S. war veteran Will Sawyer now assesses security for skyscrapers. On assignment in Hong Kong he finds the tallest, safest building in the world suddenly ablaze and he's been framed for it. A wanted man on the run, Will must find those responsible, clear his name and somehow rescue his family who are trapped inside the building - above the fire line.	A security expert must infiltrate a burning skyscraper, 225 stories above ground, when his family are trapped inside by criminals.	Action\|Thriller	tt5758778	102	t9QePUT-Yt8	6.0	https://hydramovies.com/wp-content/uploads/2018/09/Skyscraper-Movie-Poster.jpg	Rawson Marshall Thurber	Rawson Marshall Thurber	Chin Han\|Dwayne Johnson\|Neve Campbell
3936	Trench 11	2017	In the final days of WWI, an allied army unit led by a shell-shocked soldier is sent to investigate a mysterious abandoned German facility located deep underground. What they find is fate worse than death.	In the final days of WWI, an allied army unit led by a shell-shocked soldier is sent to investigate a mysterious abandoned German facility located deep underground.	Horror\|Thriller\|War	tt5033290	90	bVDGukfxFAk	5.3	https://hydramovies.com/wp-content/uploads/2018/09/Trench-11-Movie-Poster.jpg	Leo Scherman	Matt Booi	Charlie Carrick\|Robert Stadlober\|Rossif Sutherland
3937	My Daddy's in Heaven	2017	Becca, Adam and their 5-year-old daughter Acie are a perfect family until a tragic accident during a 4th of July celebration kills their father. Struggling with grief, Becky decides she needs to leave the family farm and all its memories. She leaves Acie with her grandfather Ben and visits with her friend from school, June. With all the best intent, June offers Becky plenty of distraction from her family life. Fueled by her anger at G*d and loss of faith, Becky starts drinking and making other self-destructive choices. Then, after Becky is arrested, Ben threatens to keep Acie until Becky is back on track. A chance encounter in a bus station with a traveler gives Becky what she needs to restore her faith and reunite with her family.	Becca, Adam and their 5-year-old daughter Acie are a perfect family until a tragic accident during a 4th of July celebration kills their father. Struggling with grief, Becky decides she needs to leave the family farm and all its memories.	Comedy\|Drama\|Family	tt6460276	92	bv0Eh2VhTTA	5.8	https://hydramovies.com/wp-content/uploads/2018/09/My-Daddys-in-Heaven-Movie-Poster.jpg	Waymon Boone	Joseph Nasser	Corbin Bernsen\|Jenn Gotzon Chandler\|Lee Benton
3938	Keeping Up with the Steins	2006	In toney Brentwood, Benjamin Fiedler prepares for his bar mitzvah; trouble is, he understands neither its meaning nor the Hebrew, and his parents (particularly his successful-agent father) are planning the most lavish party possible. Benjamin wants his dad to give him some space, so he gets an idea: to invite his grandfather, who left the family years ago and for whom Benjamin's dad has an intense dislike, to come two weeks early. Thanks in part to grandpa - and to the immediate family's love - Benjamin may have a shot at figuring out what it means to be a man.	A 13-year-old boy uses his upcoming bar mitzvah to reconcile the strained relationship between his father and grandfather.	Comedy	tt0415949	90	8TKLR1_JVLU	5.4	https://hydramovies.com/wp-content/uploads/2018/09/Keeping-Up-with-the-Steins-Movie-Poster.jpg	Scott Marshall	Mark Zakarin	Daryl Sabara\|Garry Marshall\|Jeremy Piven
3939	UFO	2018	Derek (Alex Sharp) a brilliant college student, haunted by a childhood UFO sighting, believes that mysterious sightings reported at multiple airports across the United States are UFO's. With the help of his girlfriend, Natalie (Ella Purnell), and his advanced mathematics professor, Dr. Hendricks (X-Files' Gillian Anderson), Derek races to unravel the mystery with FBI special agent Franklin Ahls (David Strathairn) on his heels.	A college student, who sees a UFO, uses his exceptional math skills to investigate the sighting with his friends while the FBI follows closely behind.	Action\|Sci-Fi\|Thriller	tt6290798	88	gxUcHrPhewY	6.2	https://hydramovies.com/wp-content/uploads/2018/09/UFO-Movie-Poster.jpg	Ryan Eslinger	Ryan Eslinger	Alex Sharp\|Benjamin Beatty\|Ella Purnell

Overview

Variables

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Other Punctuation

Decimal Number

Space Separator

Dash Punctuation

Math Symbol

Currency Symbol

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

None

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Other Punctuation

Decimal Number

Open Punctuation

Close Punctuation

Math Symbol

Space Separator

Dash Punctuation

Currency Symbol

Other Symbol

Modifier Symbol

Other Number

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

None

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Other Punctuation

Decimal Number

Space Separator

Currency Symbol

Dash Punctuation

Open Punctuation

Close Punctuation

Final Punctuation

Format

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

None

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Math Symbol

Dash Punctuation

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block